4.7 Article

Structural design of a cellulose-based hyperbranched adsorbent for the rapid and complete removal of Cr(VI) from water

期刊

CHEMICAL ENGINEERING JOURNAL
卷 417, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2020.128037

关键词

MCC; Hyperbranched; Rapid removal; Cr(VI); Adsorption

资金

  1. National Key R&D Program of China [2018YFD0800700]
  2. National Natural Science Foundation of China [31860193]
  3. Guangxi Youth Natural Science Fund [2018GXNSFBA281174]
  4. Fundamental Research Funds for Guangxi Forestry Research Institute [LK201820]

向作者/读者索取更多资源

A cellulose-based hyperbranched adsorbent was designed and prepared to effectively remove Cr(VI) from water to the safe drinking level standards within a short period of time. This adsorbent exhibited high amino density, swelling rate, and a three-dimensional structure, exceeding the absorption rates of traditional cellulose-based adsorbents.
To solve the problem that cellulose-based adsorbents cannot remove Cr(VI) from water to the drinking water standard (US EPA, 0.05 mg/L) within 5 min due to imbalance of the high amine density and high-efficiency diffusion dynamics. A cellulose-based hyperbranched adsorbent (MCC/HBPA-0.88) was designed and prepared via cross-linking with microcrystalline cellulose (MCC) and amino-terminated hyperbranched polymers (HBPNH2). This strategy for liquid-solid phase one-step rapid conversion could effectively increase the conversion rate of the reactants (above 99%). The cellulose-based hyperbranched adsorbent possessed high amino density (10.63 mmol/g), high swelling rate (341%) and three-dimensional hyperbranched structure. It could rapidly and completely remove Cr(VI) from water with a low level of Cr(VI) (1.02 mg/L), and the residual Cr(VI) concentration satisfied the safe drinking level standards within 1 min, which exceeds the absorption rates of cellulose-based adsorbents that have been reported in the literatures.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据